Blind identification strategies for room occupancy estimation

A. Ebadat, G. Bottegal, D. Varagnolo, B. Wahlberg, H. Hjalmarsson, K.H. Johansson

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

18 Citations (Scopus)

Abstract

We propose and test on real data a two-tier estimation strategy for inferring occupancy levels from measurements of CO2 concentration and temperature levels. The first tier is a blind identification step, based either on a frequentist Maximum Likelihood method, implemented using non-linear optimization, or on a Bayesian marginal likelihood method, implemented using a dedicated Expectation-Maximization algorithm. The second tier resolves the ambiguity of the unknown multiplicative factor, and returns the final estimate of the occupancy levels. The overall procedure addresses some practical issues of existing occupancy estimation strategies. More specifically, first it does not require the installation of special hardware, since it uses measurements that are typically available in many buildings. Second, it does not require apriori knowledge on the physical parameters of the building, since it performs system identification steps. Third, it does not require pilot data containing measured real occupancy patterns (i.e., physically counting people for some periods, a typically expensive and time consuming step), since the identification steps are blind.
Original languageEnglish
Title of host publication14th European Control Conference (ECC 2015), July 15-17, 2015, Linz, Austria
Place of PublicationNew York
PublisherInstitute of Electrical and Electronics Engineers
Pages1315-1320
Number of pages6
ISBN (Electronic)978-3-9524-2693-7
DOIs
Publication statusPublished - 16 Nov 2015
Externally publishedYes
Event14th European Control Conference, ECC 2015 - Johannes Kepler University, Linz, Austria
Duration: 15 Jul 201517 Jul 2015
Conference number: 14
http://www.ecc15.at/

Conference

Conference14th European Control Conference, ECC 2015
Abbreviated titleECC 2015
Country/TerritoryAustria
CityLinz
Period15/07/1517/07/15
OtherEuropean Control Conference
Internet address

Keywords

  • Expectation-Maximization
  • Maximum Likelihood
  • System identification
  • management of HVAC systems

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